ape — CS2 Stats

76561198333413682[U:1:373147954]✓ No bans

4,644Tracked matches37%Win rate2021Tracked since

6,230Hours in CS46Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating21,812Top 50% of 819 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)

CSDB Leaderboard#5984 of 18001 tracked

FaceitLevel 9 · 2,273 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median	vs Level 10
Headshot rate	46.4%	52.8%	6.4% short
Shot accuracy	10.5%	13.7%	3.3% short
Kill/death ratio	1.17	1.08	above
Match win rate	47.9%	49.2%	1.3% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim80

Positioning48

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateLWWLLWLLLW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.0

Aggression6.2

Utility5.1

Positioning4.8

Opening Duels2.0

Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like Twistzz 90% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.0

Positioning4.8

Utility5.1

Mechanics5.7

Opening Duels2.0

Win Impact0.6

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time527ms−80ms

first ⅓ avg 607ms → last ⅓ avg 527ms

Headshot accuracy25.7%+3.5%

first ⅓ avg 22.3% → last ⅓ avg 25.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.22Best rating — dust2 13–5

13–1Biggest win — nuke

4Longest win streak

5–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 60% over 15ancientWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	16	7–9	44%	0.02
nuke	A	15	9–6	60%	0.03
anubis	B	15	7–8	47%	0.02
ancient	D	15	5–10	33%	0.02
inferno	C	14	5–9	36%	0.01
cache	C	13	5–8	38%	0.01
mirage	A	10	6–4	60%	0.07
office	—	2	0–2	0%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,179Lifetime kills

1.17K/D · Top 50% of Pink band

6,350Matches

47.9%Match win rate · Top 50% of Pink band

46.4%Headshot %

10.5%Shot accuracy

17,688MVPs

2,691Hours (in match)

7,378Bombs planted

2,305Bombs defused

Most-used weapons

AK-4747,805

M4A4 / M4A1-S18,196

AWP15,612

P2000 / USP-S7,899

Desert Eagle6,414

Glock-186,323

MP93,307

P2502,807

Tec-92,178

Galil AR1,643

Lifetime map wins

13,582nuke

7,353dust2

5,805inferno

4,138vertigo

1,776train

212office

136cbble

67lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,000Matches

50%Win rate

1.22Avg K/D

83.7ADR

52%Headshot %

Clutches & streaks

35%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	177	44%	1.09	15.9
Ancient	163	49%	1.27	17.5
Nuke	149	57%	1.37	18.4
Anubis	144	49%	1.17	16.8
Inferno	115	56%	1.27	17.4
Dust2	109	47%	1.12	16.8
Vertigo	57	51%	1.27	17.6
Train	32	47%	1.22	17.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.3%Headshot accuracy

35.7%Accuracy (enemy spotted)

33.9%Spray accuracy

75.8%Counter-strafing

9.5°Preaim

531msReaction time

34.4%T opening success

41.5%CT opening success

0.52Enemies flashed / flash

2.2%Flash assists

5.14HE damage / grenade

12.27Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 34.4408% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	8–13	0.11	30%	28 Aug →
nuke	13–7	0.03	32%	27 Aug →
inferno	13–6	0.01	26%	27 Aug →
anubis	4–13	-0.04	14%	27 Aug →
dust2	8–13	-0.06	26%	26 Aug →
dust2	13–8	0.09	44%	26 Aug →
inferno	7–13	0.02	34%	26 Aug →
anubis	11–13	-0.01	11%	26 Aug →
ancient	11–13	-0.02	10%	26 Aug →
nuke	13–6	0.08	35%	25 Aug →
mirage	6–13	-0.02	31%	25 Aug →
inferno	7–13	-0.02	21%	25 Aug →
anubis	13–8	0.06	20%	24 Aug →
ancient	9–13	-0.03	16%	24 Aug →
ancient	10–13	-0.06	21%	23 Aug →
cache	13–4	0.02	24%	23 Aug →
nuke	13–9	-0.01	28%	23 Aug →
dust2	13–8	0.01	20%	22 Aug →
anubis	9–13	-0.03	17%	20 Aug →
nuke	6–13	0.01	28%	20 Aug →
inferno	8–13	0.07	39%	19 Aug →
inferno	8–13	0.03	30%	19 Aug →
mirage	13–5	0.08	33%	19 Aug →
mirage	13–16	0.07	17%	18 Aug →
ancient	4–13	-0.06	24%	18 Aug →
ancient	5–13	0.02	34%	17 Aug →
dust2	13–4	0.04	24%	17 Aug →
mirage	13–4	0.16	26%	17 Aug →
nuke	12–16	-0.01	30%	17 Aug →
anubis	6–13	-0.02	23%	17 Aug →
anubis	13–11	0.01	18%	17 Aug →
inferno	13–8	0.07	32%	17 Aug →
ancient	10–13	-0.02	31%	13 Aug →
inferno	3–13	-0.03	27%	13 Aug →
cache	7–13	-0.01	24%	13 Aug →
dust2	5–13	-0.04	27%	13 Aug →
anubis	16–13	0.03	17%	12 Aug →
nuke	11–13	0.01	22%	11 Aug →
anubis	13–10	0.17	26%	7 Aug →
cache	15–15	-0.04	21%	7 Aug →
inferno	9–13	-0.05	24%	5 Aug →
ancient	13–7	0.02	22%	5 Aug →
dust2	11–13	0.01	22%	5 Aug →
dust2	13–5	0.22	20%	5 Aug →
anubis	13–5	0.05	36%	4 Aug →
ancient	9–13	0.00	35%	3 Aug →
cache	8–13	-0.01	39%	3 Aug →
cache	13–9	-0.00	22%	2 Aug →
dust2	16–13	-0.00	11%	2 Aug →
mirage	13–7	0.01	28%	1 Aug →
dust2	8–13	-0.01	40%	31 Jul →
ancient	5–13	0.08	31%	30 Jul →
nuke	0–5	-0.08	33%	30 Jul →
inferno	13–10	-0.01	38%	30 Jul →
anubis	11–13	0.03	23%	29 Jul →
nuke	13–11	0.00	23%	28 Jul →
nuke	9–13	-0.01	26%	28 Jul →
inferno	0–13	-0.06	33%	28 Jul →
ancient	13–3	0.08	30%	28 Jul →
inferno	13–11	0.04	32%	27 Jul →
ancient	13–5	0.08	17%	27 Jul →
mirage	15–15	0.01	32%	27 Jul →
nuke	13–7	0.11	24%	27 Jul →
anubis	8–13	0.01	20%	24 Jul →
cache	10–13	-0.01	17%	22 Jul →
nuke	13–8	0.02	23%	21 Jul →
inferno	11–13	0.03	30%	20 Jul →
anubis	13–7	0.03	18%	20 Jul →
cache	13–7	0.09	21%	20 Jul →
mirage	10–2	0.16	38%	20 Jul →
cache	8–13	0.06	28%	20 Jul →
dust2	16–14	0.00	26%	20 Jul →
nuke	16–14	0.02	31%	20 Jul →
anubis	13–8	-0.02	24%	19 Jul →
cache	13–6	0.09	35%	19 Jul →
dust2	10–13	0.01	11%	15 Jul →
dust2	3–13	-0.08	33%	15 Jul →
inferno	13–4	0.05	30%	15 Jul →
mirage	13–10	0.13	25%	15 Jul →
office	9–13	-0.01	18%	15 Jul →
office	12–12	0.04	26%	14 Jul →
nuke	13–9	0.02	16%	13 Jul →
mirage	13–3	0.08	21%	13 Jul →
dust2	13–7	0.08	35%	13 Jul →
mirage	7–13	-0.00	18%	13 Jul →
cache	13–2	-0.04	13%	13 Jul →
ancient	11–13	0.13	18%	13 Jul →
anubis	11–13	0.02	15%	13 Jul →
nuke	13–1	0.11	24%	13 Jul →
dust2	7–13	-0.02	10%	12 Jul →
cache	1–8	-0.03	33%	12 Jul →
inferno	7–13	-0.00	20%	11 Jul →
anubis	11–13	0.00	21%	11 Jul →
ancient	3–13	0.01	23%	11 Jul →
cache	6–13	-0.03	7%	10 Jul →
ancient	13–8	0.00	14%	10 Jul →
ancient	13–5	0.01	13%	10 Jul →
dust2	7–13	-0.03	31%	10 Jul →
dust2	9–13	0.04	22%	9 Jul →
cache	9–13	0.01	16%	9 Jul →